Adaxial leaf images of common trees

Published: 20 August 2024| Version 1 | DOI: 10.17632/4y5nxd2pfy.1
Contributors:
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Description

The dataset consists of 502 high-resolution images of the adaxial surfaces of leaves from thirteen tree species. These images were captured using a 50 MP smartphone camera in the Kangra district of Himachal Pradesh, India. Artificial intelligence can be used to classify the leaves based on morphological features, such as primary, secondary, and tertiary venation.

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Institutions

Parul University

Categories

Image Database, Leaf Studies

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